Behavioral and Experimental Economics

Summer School Experimental Economics

The Behavioral and Experimental Economics group has an influential position in this field in the Netherlands and Europe. CREED, the Amsterdam-based group, focuses particularly on three main projects: economics of political decision making; bounded rationality and institutions and experimental economics. The research of the Rotterdam-based group focuses on two broad themes: decision under risk and uncertainty and intertemporal choice.

Cooperative Behavior, Strategic Interaction and Complex Systems

This research group focuses on: (non-)cooperative game theory; nonlinear dynamics and complex systems; bounded rationality, learning and heterogenous expectations; dynamic models of collective behavior and social networks & dynamic optimization.

Econometrics and Operations Research

Research themes: time series econometrics, panel data, Bayesian econometrics, applied econometrics and econometric methodology. Applications can be found in areas as diverse as monetary economics, labor economics, marketing and asset pricing. Some fellows in this group focus on operations research.

Finance

The Finance group at TI spans many of the core fields in finance: asset pricing, corporate finance, financial econometrics, market microstructure, and financial institutions.

Labor, Health, Education and Development

At TI, a large group of fellows works in different areas of labour, health, education and development.

Macroeconomics and International Economics

Fellows in the Macroeconomics and International Economics group carry out research on growth, innovation, international trade and factor mobility, the role of economic geography, banking and monetary economics, and fiscal policy.

Organizations and Markets

The Organizations and Markets (OM) group spans many areas in (applied) microeconomics, including the economics of organizations, industrial organization, entrepreneurship, innovation, and auctions.

Spatial, Transport and Environmental Economics

The STEE group addresses four themes: urban and regional dynamics, land use, transportation, and environment and resources. Many fellows combine policy research with fundamental research.

Author(s)
Journal
Journal of Econometrics, 2016, 192 (1), 64-85

Abstract

We consider estimation and hypothesis testing on the coefficients of the co-integrating relations and the adjustment coefficients in vector autoregressions driven by shocks which display both conditional and unconditional heteroskedasticity of a quite general and unknown form. We show that the conventional results in Johansen (1996) for the maximum likelihood estimators and associated likelihood ratio tests derived under homoskedasticity do not in general hold under heteroskedasticity. As a result, standard confidence intervals and hypothesis tests on these coefficients are potentially unreliable. Solutions based on Wald tests (using a “sandwich” estimator of the variance matrix) and on the use of the wild bootstrap are discussed. These do not require the practitioner to specify a parametric model for volatility. We establish the conditions under which these methods are asymptotically valid. A Monte Carlo simulation study demonstrates that significant improvements in finite sample size can be obtained by the bootstrap over the corresponding asymptotic tests in both heteroskedastic and homoskedastic environments. An application to the term structure of interest rates in the US illustrates the difference between standard and bootstrap inferences regarding hypotheses on the co-integrating vectors and adjustment coefficients.

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